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Advisor(s)
Abstract(s)
Demand response has gained increasing importance
in the context of competitive electricity markets and smart grid
environments. In addition to the importance that has been given
to the development of business models for integrating demand
response, several methods have been developed to evaluate the
consumers’ performance after the participation in a demand
response event. The present paper uses those performance
evaluation methods, namely customer baseline load calculation
methods, to determine the expected consumption in each period
of the consumer historic data. In the cases in which there is a
certain difference between the actual consumption and the
estimated consumption, the consumer is identified as a potential
cause of non-technical losses. A case study demonstrates the
application of the proposed method to real consumption data.
Description
Keywords
Customer baseline load Demand response Nontechnical Losses Performance evaluation methods Smart Grid
Citation
Publisher
IEEE